{"id":"W2316208838","doi":"10.1109/ecce.2014.6953929","title":"Hybrid generator for wind generation systems","year":2014,"lang":"en","type":"article","venue":"","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Exciter; Wind power; Electrical engineering; Stator; Electricity generation; Permanent magnet synchronous generator; Transformer; Voltage; Rectifier (neural networks); Turbine; Generator (circuit theory); Engineering; Converters; Computer science; Automotive engineering; Power (physics); Physics; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001910238,0.0001139287,0.000162965,0.00004339224,0.00004156,0.0000790718,0.00007663079,0.00004168717,0.00001271511],"category_scores_gemma":[0.00002430732,0.0001010705,0.00004554935,0.00002902247,0.000004055656,0.00008667572,0.000005117558,0.00003439831,0.00007767666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003972932,"about_ca_system_score_gemma":0.000005937253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001465608,"about_ca_topic_score_gemma":0.000004975464,"domain_scores_codex":[0.999371,0.00001998999,0.0002062882,0.0001296836,0.00008871473,0.0001843031],"domain_scores_gemma":[0.9996389,0.00003250425,0.00001870025,0.0001989332,0.00004931099,0.00006166304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003752995,0.00001061414,0.0001454769,0.0001934903,0.00008695939,8.55744e-7,0.00003489149,0.5625961,0.2410661,0.01591139,0.1770946,0.002855757],"study_design_scores_gemma":[0.0003911124,0.00002105183,0.00002797373,0.000005024806,0.000008255175,0.000005641739,0.000002417187,0.8684558,0.01173362,0.00001604977,0.1192072,0.0001259137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3389663,0.0006462943,0.6431867,0.00006965273,0.004659234,0.0008699725,0.00002019322,0.0007335033,0.01084813],"genre_scores_gemma":[0.9945895,0.000001337991,0.0005840074,0.00004290493,0.003407828,0.00008651776,0.0000281545,0.00004010271,0.001219618],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6556233,"threshold_uncertainty_score":0.4121533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01146733192773987,"score_gpt":0.1871682482929612,"score_spread":0.1757009163652213,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}